bioRxivEvolutionary BiologyPreprint
How evolution draws trade-offs
Abstract
Recent empirical evidence suggest that trade-off shapes can evolve, challenging the classical image of their high entrenchment. Here we model the evolution of the physiological mechanism that controls the allocation of a resource to two traits, by mutating the expression and the conformation of its constitutive hormones and receptors. We show that trade-off shapes do indeed evolve in this model through the combined action of genetic drift and selection, such that their evolutionarily expected curvature and length depend on context. In particular, a trade-offs shape should depend on the cost associated with the resource storage, itself depending on the traded resource and on the ecological context. Despite this convergence at the phenotypic level, we show that a variety of physiological mechanisms may evolve in similar simulations, suggesting redundancy at the genetic level. This model should provide a useful frame-work to interpret and link the overly complex observations of evolutionary endocrinology and evo-lutionary ecology.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Modeling the interplay between plastic tradeoffs and evolution in changing environments
M. Tikhonov, S. Kachru, D. S. Fisher·bioRxiv·Jul 23, 2019
- ENVIRONMENTAL PERTURBATIONS AND TRANSITIONS BETWEEN ECOLOGICAL AND EVOLUTIONARY EQUILIBRIA: AN ECO-EVOLUTIONARY FEEDBACK FRAMEWORK
T. Coulson·bioRxiv·May 26, 2020
- How to get the most bang for your buck: the evolution and physiology of nutrition-dependent resource allocation strategies
E. Ng'oma, A. M. Perinchery, E. G. King·bioRxiv·May 19, 2017
- Environment determines evolutionary trajectory in a constrained phenotypic space
D. T. Fraebel, H. Mickalide, … S. Kuehn·bioRxiv·Dec 27, 2016
- Asymmetric evolvability leads to specialization without trade-offs
J. Draghi·bioRxiv·Sep 11, 2020
- A mathematical framework for evo-devo dynamics
M. Gonzalez-Forero·bioRxiv·May 17, 2021